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  • Search: person:"Cinelli, Carlos"
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Year of publication
Subject
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Bias 3 Sensitivity analysis 3 Sensitivitätsanalyse 3 Systematischer Fehler 3 Artificial intelligence 2 Causality analysis 2 Estimation theory 2 Kausalanalyse 2 Künstliche Intelligenz 2 Schätztheorie 2 causal models 2 confidence bounds 2 machine learning 2 omitted confounders 2 omitted variable bias 2 sensitivity analysis 2 IV-Schätzung 1 Instrumental variables 1 Kleinste-Quadrate-Methode 1 Least squares method 1 Nichtparametrische Schätzung 1 Nonparametric estimation 1 Theorie 1 Theory 1 capital 1 concorrência 1 cost-free credit 1 economia clássica 1 interest 1 liberdade 1 private property 1 socialismo 1
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Online availability
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Free 11 Undetermined 2
Type of publication
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Book / Working Paper 11 Article 3
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 9 Undetermined 4 Portuguese 3
Author
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Cinelli, Carlos 7 Arthmar, Rogério 5 Cinelli, Carlos Leonardo Kulnig 5 Chernozhukov, Victor 3 Hazlett, Chad 3 Newey, Whitney K. 3 Sharma, Amit 3 Syrgkanis, Vasilis 3 ARTHMAR, ROGÉRIO 1 CINELLI, CARLOS LEONARDO KULNIG 1 Cinelli, Carlos Alberto 1 Ferwerda, Jeremy 1 Forney, Andrew 1 Pearl, Judea 1
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Institution
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Associação dos Centros de Pós-Graduação em Economia - ANPEC 2 National Bureau of Economic Research 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 1 Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 1 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1 MPRA Paper 1 NBER working paper series 1 Nova Economia 1 O observador econômico e financeiro 1 cemmap working paper 1
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Source
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ECONIS (ZBW) 6 RePEc 4 BASE 2 EconStor 1 Other ZBW resources 1
Showing 1 - 10 of 14
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An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables
Cinelli, Carlos; Hazlett, Chad - 2022
We develop an “omitted variable bias” framework for sensitivity analysis of instrumental variable (IV) estimates that is immune to “weak instruments,” naturally handles multiple “side-effects” (violations of the exclusion restriction assumption) and “confounders” (violations of...
Persistent link: https://www.econbiz.de/10014077088
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Omitted variable bias in machine learned causal models
Chernozhukov, Victor; Cinelli, Carlos; Newey, Whitney K.; … - 2021
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of...
Persistent link: https://www.econbiz.de/10013252999
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Omitted variable bias in machine learned causal models
Chernozhukov, Victor; Cinelli, Carlos; Newey, Whitney K.; … - 2021
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of...
Persistent link: https://www.econbiz.de/10012800720
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A Crash Course in Good and Bad Controls
Cinelli, Carlos; Forney, Andrew; Pearl, Judea - 2021
Many students, especially in econometrics, express frustration with the way a problem known as “bad control” is evaded, if not mishandled, in the traditional literature. The problem arises when the addition of a variable to a regression equation produces an unintended discrepancy between the...
Persistent link: https://www.econbiz.de/10013232955
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Sensemakr : Sensitivity Analysis Tools for OLS in R and Stata
Cinelli, Carlos; Ferwerda, Jeremy; Hazlett, Chad - 2020
This paper introduces the package sensemakr for R and Stata, which implements a suite of sensitivity analysis tools for regression models developed in Cinelli and Hazlett (2020a). Given a regression model, sensemakr can compute sensitivity statistics for routine reporting, such as the robustness...
Persistent link: https://www.econbiz.de/10014098659
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Long Story Short : Omitted Variable Bias in Causal Machine Learning
Chernozhukov, Victor; Cinelli, Carlos; Newey, Whitney K.; … - National Bureau of Economic Research - 2022
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of...
Persistent link: https://www.econbiz.de/10013334519
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Making sense of sensitivity : extending omitted variable bias
Cinelli, Carlos; Hazlett, Chad - In: Journal of the Royal Statistical Society: Series B … 82 (2019) 1, pp. 39-67
Persistent link: https://www.econbiz.de/10012284197
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A ECONOMIA CLÁSSICA ENTRE OLAISSEZ-FAIRE E O SOCIALISMO
CINELLI, CARLOS LEONARDO KULNIG; ARTHMAR, ROGÉRIO - Associação dos Centros de Pós-Graduação em … - 2014
Persistent link: https://www.econbiz.de/10010854645
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A economia clássica entre o laissez-faire e o socialismo
Arthmar, Rogério; Cinelli, Carlos Leonardo Kulnig - Volkswirtschaftliche Fakultät, … - 2011
This paper goes through the main classical authors’ positions on the virtues and the limitations of both competition and socialism. The first section retrieves the evolution of socialistic ideas in England until the first half of the nineteenth century, highlighting Owen’s thesis. After...
Persistent link: https://www.econbiz.de/10009395485
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A economia clássica entre o laissez-faire e o socialismo
Arthmar, Rogério; Cinelli, Carlos Leonardo Kulnig - 2011
This paper goes through the main classical authors’ positions on the virtues and the limitations of both competition and socialism. The first section retrieves the evolution of socialistic ideas in England until the first half of the nineteenth century, highlighting Owen’s thesis. After...
Persistent link: https://www.econbiz.de/10015229841
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